SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 48114820 of 7282 papers

TitleStatusHype
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes0
Toward Moiré-Free and Detail-Preserving Demosaicking0
Adapting Language Models for Non-Parallel Author-Stylized Rewriting0
List-Mode PET Image Reconstruction Using Dykstra-Like Splitting0
LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors0
Towards Adversarial Denoising of Radar Micro-Doppler Signatures0
Towards Adversarially Robust Deep Image Denoising0
Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models0
Towards Adversarial Purification using Denoising AutoEncoders0
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified